摘要
通过对地质勘探和矿产开采工作流程的研究,提出建立地质勘探大数据网络共享模型的构想,利用现代计算机和网络技术设计出地质勘探和采矿协同工作平台。从功能模块、架构、技术栈和数据库设计等方面提出了协同工作平台的实现策略,并且提出了利用大数据、机器学习等技术实现地质勘探数据预处理和预分析的思路。该模型实现了探矿和采矿过程之间的协同工作,可以显著提高地质勘探的效率和质量,为矿产开采提供更好的指导。
By studying the workflow of geology prospecting and mineral exploitation,the concept of establishing a big data network sharing model for geology prospecting and mineral development is proposed.It also comes up with the design of a collaborative working platform for geology prospecting side and mining side by modern computer and network technology.Firstly,this paper puts forward the implementation strategy for the collaborative working platform in terms of functional modules,architecture,technology stack and database design.Secondly,the idea to utilize technologies such as big data and machine learning to realize the preprocessing and pre analysis of geology prospecting data is presented.The proposed model will enable iterative collaboration between prospecting and mining process which will significantly improve the efficiency and quality of geology prospecting and give better guidance to mineral exploitation.
作者
张大志
Zhang Dazhi(Research Institute of Coal Geophysical Exploration,CNACG,Zhuozhou,Hebei 072750)
出处
《中国煤炭地质》
2022年第9期77-81,共5页
Coal Geology of China
关键词
矿产开采
地质勘探
协同工作
大数据
云平台
人工智能
机器学习
mineral exploitation
geology prospecting
collaborative work
big data
cloud platform
artificial intelligence
machine learning
